engAhar Branch,Islamic Azad University, Ahar,IranJournal of Artificial Intelligence in Electrical Engineering2345-46522345-46522016-03-01517110525855Online Dimensional Controlling System for DrillingReza Farshbaf Zinatireza.farshbaf.zinati@iaut.ac.ir1Ahmad Habibi Zad navin2Mohammad Reza Razfar3Department of Mechanical Engineering, Tabriz Branch, Islamic Azad University, Tabriz, IranDepartment of Computer Engineering, Tabriz Branch, Islamic Azad University, Tabriz, IranDepartment of Mechanical Engineering, AmirKabir University of Technology, Tehran, Iran.The drilling is well known as one of the most common hole making processes in the industry.Due to close tolerance requirement for drilled holes in the most of work pieces, onlinecontrolling of the diameter of drilled holes seems to be necessary. In the current work, an onlinedimensional controlling system was developed for drilling process. Doing this, drilling processwas executed in different cutting conditions (feed per tooth and cutting speed) and different flankwear of cutting edges. In each drilling test, axial force and diameter of drilled hole was recorded.According to the results obtained from analysis of variance (ANOVA), increase of flank wear incutting edges increases the axial force and hole-diameter. In this way, the axial cutting force, asonline measurable parameter, could be used for online estimation of the hole-diameter. Neuralnetwork (NN) was used to model the correlation between axial force and the hole-diameter. Inthis way, the obtained NN model estimates the maximum acceptable axial force by receivingcutting conditions and maximum acceptable hole-diameter. The drilling process has to bestopped as its axial force exceeds the estimated value for drill changing.http://jaiee.iau-ahar.ac.ir/article_525855_725ca42e87fa37465cf90592a1e60c5f.pdfDrillingaxial cutting forcediameter toleranceanalysis of varianceNeural networkengAhar Branch,Islamic Azad University, Ahar,IranJournal of Artificial Intelligence in Electrical Engineering2345-46522345-46522016-03-015171120528325مقاله پژوهشیNavigation of a Mobile Robot Using Virtual Potential Field and Artificial Neural NetworkMohsen Ashourianashourian@iaumajlesi.ac.ir1Mohammad Rastegarirastegary@msn.com2Amirhassan Monadjemimonadjemi@eng.ui.ac.ir3Majlesi Branch, Islamic Azad UniversityMajlesi Branch, Islamic Azad UniversityDepartment of Computer Science, University of IsfahanMobile robot navigation is one of the basic problems in robotics. In this paper, a new approach is proposed for autonomous mobile robot navigation in an unknown environment. The proposed approach is based on learning virtual parallel paths that propel the mobile robot toward the track using a multi-layer, feed-forward neural network. For training, a human operator navigates the mobile robot in some different paths in the environment. Both of human operator navigating data and virtual parallel paths train the neural network. The neural network is able to map the coordinate of a position to a mobile robot orientation and velocity. After training, the mobile robot can plan a track between start and target position without the need of any human operator. When the environment surrounding the mobile robot is unknown, sensors are used to detect obstacles and avoid collision. The simulated mobile robot is equipped with a rangefinder sensor. The simulation shows promising results and high speed for real-time implementation in unknown and partially dynamic environments.http://jaiee.iau-ahar.ac.ir/article_528325_7309a0c7250cd6757731dea53b96cdaa.pdfMobile robotNavigationNeural networksengAhar Branch,Islamic Azad University, Ahar,IranJournal of Artificial Intelligence in Electrical Engineering2345-46522345-46522016-03-015172128525958Designing and Dismounting an Intelligent System of Irrigation Management for Greenhouse based on Delphi SoftwareDavood mohammadi pirmoraddm_saytak@yahoo.com1Department of Engineering, Ahar Branch, Islamic Azad University, Ahar, IranThe drought continuity and also restricting watery sources caused agriculture section forgetold flooding methods for optimum water exploitation and proceeding new irrigation systems.New generation of irrigation systems called intelligent systems is a new solution leading toexploiting water increase to higher than 80%. In order to measure sensors and to controlprocessors in designing and dismounting intelligent systems, Delphi programming and computerwas administered in this study.. Managing works such as irrigation time and controllingtemperature, humidity and even ventilation are managed and controlled automatically throughadjusting the style of controlling intelligent systems. Processors are responsible for providingnecessary factors about greenhouse such as heat, cold, light and humidity. Designing software inDelphi area caused all measuring parameters’ monitoring from greenhouse area in computerarea. Central hardware system exports different orders through getting data from sensors forcontrolling processors. The processors used in this way should be able to establish a fasterrelationship between processors .We concluded that economizing should be done in using waterfrom 40 up to 50 percent with managing irrigation time and round – the – clock temperature.Thus, the plant has enough amounts of nutritional materials.http://jaiee.iau-ahar.ac.ir/article_525958_8aeeca126e6976a9527405ea3e74a98b.pdfgreen housecontrolling irrigation systemsensorsDelphi softwareengAhar Branch,Islamic Azad University, Ahar,IranJournal of Artificial Intelligence in Electrical Engineering2345-46522345-46522016-03-015172940525959The Novel Control Method for Photovoltaic Converter to the National GridParisaAlipour Alipour1MahdiSalimi Salimi2Department of Engineering, Ahar Branch, Islamic Azad University, Ahar, IranDepartment of Engineering, Ardabil Branch, Islamic Azad University, Ardabil, IranIn this paper, a novel control method for photovoltaic converter connection to the national gridis presented, so in addition to the injection control by solar arrays to the grid, this method cancompensate reactive power and harmonics in the load current. The system will be connected inparallel between the grid and load. The proposed system supplies all load power consumption(including active power and reactive power) and if less power is produced by the solar arrayinverters, the proposed method can be used to compensate the remaining reactive power andharmonics of load. Using this method, power factor of the system will be equal to unity. Finally, toverify the performance of the method, a grid-connected photovoltaic system is simulated.http://jaiee.iau-ahar.ac.ir/article_525959_e5c40e145adeef1adcbac594f0bdb220.pdfphoto voltaic converter, solar array, reactive power and load current harmoniccompensationengAhar Branch,Islamic Azad University, Ahar,IranJournal of Artificial Intelligence in Electrical Engineering2345-46522345-46522016-06-015174153528324مقاله پژوهشیDesign and analysis of hybrid systems solar, wind, osmotic for green plants using ant colony optimization algorithmmohsen rasinezamm.rasinezam1369@gmail.com1hossein shayeghihshayeghi@gmail.com2Department of power, Ardabil Branch, Islamic Azad University , Ardabil, IranDepartment of power, Ardabil Branch, Islamic Azad University , Ardabil, IranNature has always proven that it is able to overcome its problems. However, human manipulation has led to environmental degradations. The dryness of a thousand-year Urmia Lake (a brinewater lake in Iran) is an example of environmental degradation that happened due to successive droughts and construction of dams on the basin of this lake. This study examines methods for the revival of Urmia Lake,by making use of the water gathered behind the dam of Urmia Lake for agricultural purposes. This examination will be carried out by constructing several green plants around this lake over 20 years. The cost and amount of this construction project is analyzed with MATLAB software and by using the Ant Colony Algorithm.http://jaiee.iau-ahar.ac.ir/article_528324_80cc98d8f64309428fa14ae7f8764307.pdfOptimal design systemSolar Energywind energyosmotic powerACO algorithmengAhar Branch,Islamic Azad University, Ahar,IranJournal of Artificial Intelligence in Electrical Engineering2345-46522345-46522016-03-015175566525961Vibration Attenuation of Nonlinear Hysteretic Structures with Fully Unknown ParametersSaheleh Khodabakhshi1Mahdi Baradaran-nia21Department of Electrical Engineering. Ahar Branch, Islamic Azad University, Ahar, IranDepartment of Control Engineering, Faculty of Electrical and Computer Engineering, University of Tabriz, , Tabriz, IranNatural hazards such as earthquakes have threatened the life of human beings during the history.As a consequence, the vibration mitigation of structures has caught great importance. Activecontrol of structures is one of the rapidly emerging areas in the concept of structural control. Thispaper presents a control method to deal with this subject when the dynamics of the structure ishysteretic and the parameters of the structure contain uncertainties. The hysteresis behavior of thestructure is modeled using Bouc-Wen equation and the uncertainty is considered in its parameters.For control purpose, sliding mode method and its adaptive version are used. The salient point ofadaptive sliding mode technique is that it does not use the uncertainty bounds in its controller; thisis correspondent to the fact that the estimation of the structural parameters may not be exact. Theefficiency of the proposed method is shown with a simulation.http://jaiee.iau-ahar.ac.ir/article_525961_a6cee7bc89cbcefab56d4ee49ae29c38.pdfActive control of nonlinear structuresstructures with uncertain parametersBouc-Wen modelvibration mitigation of structures